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How Python is helping Cybersecurity?

How Python is helping Cybersecurity?
blog-author Sarah 8+ Years of Exp.

Cyber-attacks are an international issue, as breaches of high-profiles have given rise to genuine concerns. Hackers’ attacks in recent times occur every 39 seconds. Recent web development statistics suggest nearly 64% of companies have faced web attacks to date. Programming is becoming an integral part of cybersecurity and custom web application development company prefer to hire dedicated developers to tackle the if’s and but’s of navigating through the Python environment. Python programming language has been around for quite some time now in the industry, gaining more attention from cybersecurity professionals.

What are Cyber Attacks?

A cyberattack is any offensive maneuverer that targets computer information systems, computer networks, infrastructures, or personal computer devices. Cyber-attacks are malicious and intentional attempts by an organisation or individual to breach the information system of another organisation or individual. Cyber attackers use malicious code to compromise data which leads to cybercrime.
To lessen these threats, web application development companies in USA make sure primarily the cloud storage database should be inaccessible to outsiders. Furthermore, to enhance security, cybersecurity professionals can ensure a secure software development lifecycle for the prevention of unclean codes. Python comes in handy in such scenarios, mainly for the multitude of benefits it provides.

Is Python useful for cybersecurity?

Python is a critical programming language for cybersecurity professionals as it can perform an array of cybersecurity functions, inclusive of malware scanning, analysis and penetration testing tasks. It’s the recommendation to the freshers of the cybersecurity teams due to its wide use and lesser shorter curve.

Benefits of Python in the Cybersecurity world

Design and functionalities of Python language have many benefits along with being user-friendly and easy to use for cybersecurity professionals. It is a scripting language of servers-side with an array of applications that are being used in thousands of security projects. It is a go-to language for coders in a multitude of fields such as data science, web development, mathematical computation and more importantly cyber security.

Benefits for the Developers:

Python is easy to grasp and implement:
Python was designed intentionally to be a straightforward, lightweight, easy programming language that needs minimal code to execute tasks as compared to other languages. As compared to C or Java, Python takes substantially less code for the same tasks. It provides a shorter learning curve to newbies as it is a straightforward programming language.

Debugging made easy:
Structured formatting of Python makes it easy to learn and implement. Additionally, the straightforward design and ease of task completion equivalently increase its readability. Increased and easy readability also makes debugging code extremely straightforward. This leads to easy troubleshooting from entry level coders increasing the turnaround time and efficiency.

Open-source programming language:
Similar to Linux being an open-source operating system, Python was developed as an open-source programming language. Open-source nature comes with its perks. Being an open-source programming language, it is supported, improved and upgraded all the time by a strong community of developers. Using the language is free with the advantage of flexibility and a great deal of information available in the market.

Autonomous Memory Management:
Another benefit that is easily missed out on is that Python has an auto memory management built-in by design. Pythons’ memory manager manages the memory in the language internally. This lessens the burden of the programmer or the user about the memory management concerns as it includes factors like caching, memory allocation, and segmentation.

Benefits for Cybersecurity Professionals

Speed up the process:
Due to its shorter learning curve, newbies with less technical backgrounds can give speedy results. With its ease of use, this programming language is even preferred by experienced programmers or cybersecurity professionals as the code can be executed and implemented in a jiffy.

Teams can be formed quickly:
Cybersecurity teams can give quicker turnaround times on projects even though the team consists of member who have no coding background. The complexity of the group understanding will increase with the use of a more difficult language like Java, thus decreasing the efficiency of the team. Python language offers great flexibility and benefit to the cybersecurity managers for leading teams and implementation of the projects on a faster pace.

An extensive library of Python provides the availability of the tools used for cybersecurity:
Pythons’ extensive library of modules comes in handy to cybersecurity professionals. Being open-source in nature, Pythons extensive library is constantly updated and is ready to be used by all. Cybersecurity pros won’t reinvent the tools with common tasks and in many cases can quickly search cybersecurity analysis or penetration testing tools.

Versatile use in Cybersecurity:
With the help of a deep understanding of Python and in general programming theories, cybersecurity professionals can accomplish anything using Python code. An example, Python is profoundly used for malware analysis, the sending and decoding of packets, host discovery, port scanning, accessing servers, and network scanning. Python is strongly effective at scripting, data analysis and automatic tasks resulting in it is most popular among cybersecurity professionals.

Quick Development of scripts in Python:
Simplistic code in a short period for solutions that are effective and easy to implement and debug for cybersecurity pros is a huge benefit in itself. The errors in the codes are extremely easy to detect and fix which means cybersecurity pros can solve the issues that arise quickly and reduce challenges as they go along the cybersecurity journey.

Geolocation extraction:
The real-time location of any IP address can be easily extracted using Python and Google APIs. Cybersecurity professionals can use this tool for the tracking of the place of origin of the cyber-attack which is extremely useful for many reasons. Not only can this tool have its advantages for tracking IP addresses but also can be used for blocking malicious IP addresses that would want to breach the information system.

Without using any third-party tools and only using Python as a base programming language the following can be accomplished:
Web Server Fingerprinting, Simulation of attacks, website cloning, accessing mail servers, wireless network scanning, the transmission of traffic in the network, port scanning and more are useful as cybersecurity tools.

Cybersecurity has become mandatory with the increasing severity of cyber-attacks and technological advancement in recent years. Python being a resourceful language has become immensely crucial for cybersecurity professionals. It performs a multitude of functions such as malware analysis, penetrations testing and scanning functions. Securing your web applications or websites through cybersecurity is the best go-to option with the world getting a digital makeover.

Cyber professionals ensure secure and better performance of the website or web applications along with a ready to go response for any cyber-attack that might hit your digital existence. You can get in touch with us to hire dedicated developers for securing your online presence.

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